EvolutionIQ

Senior Machine Learning (ML) Engineer (AI Insurtech)

EvolutionIQ • $190K — $225K *
New York, NY 10025In-Person
Finance & Insurance
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 2+ years of experience as a Machine Learning Engineer or Data Scientist in scalable production environments
  • Deep exposure to ML tech stacks (sklearn, Keras/PyTorch) and data analysis/modeling
  • Proficiency in Python, Pandas, and Jupyter for data handling
  • Excellent written and verbal communication skills for diverse audience engagement
  • Team player with a solutions-oriented mindset
  • Familiarity with Claude Code and related tools is a plus

Responsibilities

  • Build and deploy ML models for production use
  • Perform exploratory data analysis to uncover ML opportunities and data issues
  • Implement new features to enhance model performance
  • Write and review high-quality pull requests regularly
  • Translate client business objectives into ML problems
  • Develop scalable ML models for time series forecasting and NLP understanding
  • Pursue continuous learning in data and ML related to large datasets

Benefits

  • Medical, dental, and vision insurance
  • Paid parental leave with flexible scheduling for new parents
  • Catered lunches, happy hours, and a pet-friendly office
  • Professional development fund of $1,000/year per employee
  • Sponsorship opportunities for visa transfer
  • 401k matching and life insurance benefits
Full Job Description
About You: A Senior Machine Learning Engineer who thrives on first principles problems that no one has ever worked on before. You love innovation and making an immediate impact, and are constantly driving toward launch and delivery thanks to your high degree of ownership and control. You love working on new and challenging problems, not incremental or marginal improvements, and you9re supercharged by having interesting, unsolved problems continually present themselves.

In this Role, You Will:
  • Build ML models for production use
  • Perform in-depth exploratory data analysis to scope ML opportunities, identify potential issues in the data, and lay the groundwork for model design, training & evaluation strategies
  • Suggest and implement new features to improve model performance and business logic
  • Write and review production-quality PRs daily
  • Translate client business problems into ML problems
  • Build scalable machine learning models for claim time series forecasting and NLP text understanding
  • Continue to grow and learn in the data & ML space with a focus on business problems that require making sense of large-scale structured and unstructured datasets

Requirements:
  • 2+ years of experience as a Machine Learning Engineer or Data Scientist, preferably in highly scalable production environments.
  • You have deep exposure to data science & ML tech stacks (sklearn, Keras / PyTorch, tuning frameworks), data analysis & modeling, feel at home in Python/Pandas/Jupyter, and strive for scalable technical concepts and solutions.
  • You have excellent written and verbal communication skills and can effectively correspond between technical and non-technical audiences.
  • You9re a team player who is solutions-oriented.
  • Experience leveraging Claude Code and related tools is a strong plus

Even Better if You Have the following:
  • Knowledge of Dagster, BigQuery, Vertex AI, GCP, Terraform, Spark, Kubernetes
  • Owned and deployed, and maintained model-serving pipelines in production
  • Expert skills at writing clean, efficient, and easy-to-understand code with unit tests and functional design patterns
  • Experience with advanced statistical modeling, especially probabilistic programming
  • Ambitious, collaborative, and empathetic values
  • A work style that is open to giving and receiving critical feedback and collaborating effectively across teams

Work-life, Culture & Perks:
  • Compensation: The base salary range is $190-225K, with flexibility depending on a candidate9s background and experience. An annual bonus plan and company equity plan (RSUs) are also included in our compensation package.
  • Well-Being: Medical, dental, vision, short & long-term disability, life insurance and AD&D, and 401k matching. Additional family, wellness, and pet benefits.
  • Home & Family: Paid time off and sick leave, 100% paid parental leave (16 weeks for primary caregivers and 12 weeks for secondary caregivers). We offer a flexible schedule for new parents returning to work.
  • Office Life: Catered lunches, happy hours, pet-friendly spaces, and monthly technology stipend.
  • Growth & Training: $1,000/year for each employee for professional development, as well opportunities for tuition reimbursement.
  • Sponsorship: We are open to sponsoring candidates currently in the U.S. who need to transfer their active visa. Please check with our Recruiting team if your visa is applicable for transfer.

About EvolutionIQ

EvolutionIQ is a management consulting firm that provides strategic planning, organizational design, and change management services to businesses. The company works with clients in a variety of industries, including healthcare, technology, and financial services. EvolutionIQ's team of consultants has experience working with both startups and established companies. The company was founded in 2018 and is headquartered in Seattle, Washington.
Learn more about EvolutionIQ
Size
10 employees
Industry
Business Services
Founded
2018
* Ladders Estimates

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